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Geopandas Python Jobs in Colorado (NOW HIRING)

CACI International, Inc.

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Work with modern Python-based tooling in an Agile, mission-focused delivery environment. * Grow ... Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas). Familiarity with machine learning ...

Stantec

Transportation Analyst (Modeling)

Denver, CO · On-site

$85K - $119K/yr

Automate data processing and analysis workflows using Python, SQL, and Excel. * Collaborate with ... Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas. * Understanding of travel demand ...

RE/SPEC Inc.

Associate GIS Consultant

Denver, CO · On-site

... Python for geoprocessing, data manipulation, and automation using libraries such as ArcPy, GeoPandas, Pandas, and Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS ...

RE/SPEC Inc.

Associate GIS Consultant

Denver, CO · Remote

... Python for geoprocessing, data manipulation, and automation using libraries such as ArcPy, GeoPandas, Pandas, and Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS ...

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Geopandas Python information

What is GeoPandas in Python?

GeoPandas is an open-source Python library that simplifies working with geospatial data. It extends the popular Pandas library to enable spatial operations on geometric types, such as points, lines, and polygons. With GeoPandas, users can easily read, write, and manipulate geographic data formats like Shapefile, GeoJSON, and others. It integrates well with other libraries, such as Matplotlib for visualization and Shapely for advanced geometric operations, making it a powerful tool for geographic data analysis in Python.

What is the difference between Geopandas Python vs GIS Analyst?

AspectGeopandas PythonGIS Analyst
Required CredentialsPython programming, GIS fundamentalsGIS certifications, degree in geography or related field
Work EnvironmentData analysis, scripting, codingMap creation, spatial data management, report generation
Industry UsageData science, software development, geospatial analysisUrban planning, environmental management, government agencies

Geopandas Python focuses on spatial data analysis using Python programming, ideal for data scientists and developers. GIS Analysts work with spatial data in various industries, often using GIS software and tools. While both roles involve geospatial data, Geopandas Python emphasizes coding and automation, whereas GIS Analysts focus on data management and visualization.

What are the key skills and qualifications needed to thrive as a Geopandas Python developer?

To thrive as a Geopandas Python Developer, you need a solid foundation in Python programming, geospatial data analysis, and GIS concepts, often backed by a degree in computer science or geography. Familiarity with Geopandas, Shapely, Fiona, and other geospatial libraries, as well as experience with spatial databases and data visualization tools, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver robust geospatial solutions and collaborate with team members. These skills are critical for accurately processing spatial data, generating valuable insights, and supporting data-driven decision-making in various industries.

What are some common challenges Geopandas Python developers face when working with large geospatial datasets?

Geopandas Python developers often encounter performance limitations when processing very large geospatial datasets, as Geopandas is built on top of Pandas and can be memory-intensive. Handling operations like spatial joins, dissolves, or aggregations on millions of features may lead to slowdowns or memory errors. To address these challenges, developers frequently use techniques such as chunking data, leveraging Dask for parallel computing, or integrating with more scalable libraries like PostGIS or PyGEOS. Collaborating closely with data engineers and GIS specialists can also help optimize workflows and ensure efficient data processing.
What are popular job titles related to Geopandas Python jobs in Colorado? For Geopandas Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in Colorado look for? The top searched job categories for Geopandas Python jobs in Colorado are:
Geopandas Python jobs near you
Infographic showing various Geopandas Python job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Senior Geospatial Data Engineer

CACI International Inc

Denver, CO • On-site

$109K - $148K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
CACI International Inc is focused on delivering geospatial data infrastructure and analytical capabilities for intelligence decisions. As a Senior Geospatial Data Engineer, you will lead the development of geospatial data pipelines and visualization tools, working closely with NGA mission users to enhance their interaction with geospatial data.
Responsibilities:
• Design and deliver end-to-end geospatial data pipelines from ingest through analyst-facing visualization, leveraging GDAL/OGR-based transformation and processing across diverse data formats
• Develop and maintain Python-based analytical environments via Jupyter Notebooks tailored to NGA mission user workflows
• Manage GeoParquet datasets within the program's data lake architecture; implement and extend columnar format pipelines for production use
• Administer ArcGIS Server services and portal configurations; integrate with the FOSS4G toolchain including QGIS, GeoServer, and MapServer
• Collaborate with the AGIS Search team on spatial data indexing and AI-assisted retrieval integration
• Lead technical refinement sessions and provide PI Planning input on data engineering epics and cross-team dependencies
Qualifications:
Required:
• Active TS/SCI clearance
• 8+ years of software or data engineering experience, with at least 5 years in geospatial domains
• Proficiency in the Python geospatial stack: GDAL, Fiona, Shapely, GeoPandas, Rasterio
• Strong Jupyter Notebook development experience for analytical and mission workflows
• Working knowledge of the FOSS4G ecosystem (QGIS, GeoServer, MapServer, GRASS)
• GeoParquet/columnar format experience in production environments
• ArcGIS Server and ArcGIS Enterprise administration
• B.S. in Geography, GIS, Computer Science, or related field (equivalent experience accepted)
Preferred:
• Familiarity with OGC service standards (WMS, WFS, WCS)
• Experience operating within SAFe or Agile delivery frameworks
• CI Poly clearance
Company:
At CACI International Inc (NYSE: CACI), our 27,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. Founded in 1962, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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